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Model-Based Policy Search Using Monte Carlo Gradient Estimation with
  Real Systems Application

Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application

28 January 2021
Fabio Amadio
Alberto Dalla Libera
R. Antonello
D. Nikovski
R. Carli
Diego Romeres
ArXivPDFHTML

Papers citing "Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application"

3 / 3 papers shown
Title
Learning control of underactuated double pendulum with Model-Based
  Reinforcement Learning
Learning control of underactuated double pendulum with Model-Based Reinforcement Learning
Niccolò Turcato
Alberto Dalla Libera
Giulio Giacomuzzo
R. Carli
Diego Romeres
31
4
0
09 Sep 2024
FORESEE: Prediction with Expansion-Compression Unscented Transform for
  Online Policy Optimization
FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
Hardik Parwana
Dimitra Panagou
28
2
0
26 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
1